Intelligent Simulation Empowering New Engineering: Innovative Research on Cross-Disciplinary Practical Teaching of Artificial Intelligence Courses

DOI: https://doi.org/10.62517/jnse.202517405

Author(s)

Lei Chen, Xiaoli Liang

Affiliation(s)

School of Software, Henan University, Kaifeng, Henan, China

Abstract

With the advancement of new engineering construction, artificial intelligence courses face challenges in theory and practice, disciplinary integration, and industry alignment. This paper takes the intelligent simulation platform as the core to reconstruct the artificial intelligence curriculum system, integrating multi-disciplinary knowledge from computer science, mathematics, and control theory to enhance students' comprehensive literacy and practical abilities. By upgrading the intelligent simulation teaching platform, we achieve algorithm layered visualization and 3D scene interaction, enriching practical resources. The introduction of real enterprise projects promotes deep integration of industry and education, strengthening engineering awareness and professional literacy. The platform supports personalized learning paths to meet the growth needs of students with different foundations. The project implementation forms an intelligent simulation curriculum system, online course resources, and research reports, covering relevant majors across the university and benefiting over 500 students. This approach is expected to improve the teaching quality of artificial intelligence courses, narrow the gap between talent cultivation and industrial needs, and provide an innovative paradigm for cultivating high-quality AI talents under the new engineering background.

Keywords

Intelligent Simulation; New Engineering; Artificial Intelligence Education; Cross-disciplinary Practical Teaching

References

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